Browsing Computer Science by Subject "Speech synthesis"
Now showing items 1-13 of 13
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Analysis of speaker similarity in the statistical speech synthesis systems using a hybrid approach
(IEEE, 2012)Statistical speech synthesis (SSS) approach has become one of the most popular and successful methods in the speech synthesis field. Smooth speech transitions, without the spurious errors that are observed in unit selection ... -
Anti-spoofing for text-independent speaker verification: An initial database, comparison of countermeasures, and human performance
(IEEE, 2016-04)In this paper, we present a systematic study of the vulnerability of automatic speaker verification to a diverse range of spoofing attacks. We start with a thorough analysis of the spoofing effects of five speech synthesis ... -
Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources
(Springer, 2024-02-12)Speech synthesis has made significant strides thanks to the transition from machine learning to deep learning models. Contemporary text-to-speech (TTS) models possess the capability to generate speech of exceptionally high ... -
DNN-based speaker-adaptive postfiltering with limited adaptation data for statistical speech synthesis systems
(IEEE, 2019)Deep neural networks (DNNs) have been successfully deployed for acoustic modelling in statistical parametric speech synthesis (SPSS) systems. Moreover, DNN-based postfilters (PF) have also been shown to outperform conventional ... -
Eklemeli̇ di̇ller i̇çi̇n düşük bellekli̇ melez i̇stati̇sti̇ksel/bi̇ri̇m seçmeli̇ MKS si̇stemi̇
(IEEE, 2012)The HMM-based TTS (HTS) approach has been increasingly getting more attention from the TTS research community. One of the advantage is the lack of spurious errors that are observed in the unit selection scheme. Another ... -
Finding relevant features for statistical speech synthesis adaptation
(European Language Resources Association, 2014-05)Statistical speech synthesis (SSS) models typically lie in a very high-dimensional space. They can be used to allow speech synthesis on digital devices, using only few sentences of input by the user. However, the adaptation ... -
Konuşmacı aradeğerlemeli SMM tabanlı metinden konuşma sentezleme si̇stemi
(IEEE, 2011)Hidden Markov Model (HMM) based text-to-speech (TTS) systems offer many advantages compared to the concatenative approach. One of those advantages is the ability to interpolate between different speakers to generate new ... -
Nearest neighbor approach in speaker adaptation for HMM-based speech synthesis
(IEEE, 2013)Statistical speech synthesis (SSS) approach has become one of the most popular and successful methods in the speech synthesis field. Smooth speech transitions, without the spurious errors that are observed in unit selection ... -
Postprocessing synthetic speech with a complex cepstrum vocoder for spoofing phase-based synthetic speech detectors
(IEEE, 2017-06)State-of-the-art speaker verification systems are vulnerable to spoofing attacks. To address the issue, high-performance synthetic speech detectors (SSDs) for existing spoofing methods have been proposed. Phase-based SSDs ... -
SAS : A speaker verification spoofing database containing diverse attacks
(IEEE, 2015)This paper presents the first version of a speaker verification spoofing and anti-spoofing database, named SAS corpus. The corpus includes nine spoofing techniques, two of which are speech synthesis, and seven are voice ... -
A small footprint hybrid statistical and unit selection text-to-speech synthesis system for Turkish
(Springer Science+Business Media, 2012)Unit selection based text-to-speech synthesis (TTS) can generate high quality speech. However, The HMM-based text-to-speech (HTS) has also advantages such as the lack of spurious errors that are observed in the unit selection ... -
A small footprint hybrid statistical/unit selection text-to-speech synthesis system for agglutinative languages
(IEEE, 2012)Despite its success, unit selection based text-to-speech synthesis (TTS) has has some disadvantages such as sudden discontinuities in speech that distract the listeners. The HMM-based TTS (HTS) approach has been increasingly ... -
Vurgu ve söyleyiş modelleme hatalarının SMM tabanlı Türkçe MKS sistemindeki etkileri
(IEEE, 2011)SMM tabanlı metinden konuşma sentezleme (SMM-MKS) yöntemi, gün geçtikçe daha 1 fazla araştırmacısının ilgisini çekmektedir. Bu yöntemin en önemli avantajlarından biri, birim seçmeli sistemlerde görülen bozulma etkilerinin ...
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